Narrowband Physical Random Access CHannel (NPRACH) Narrowband Internet of Things (NBIoT) User Activity Detection (UAD) Receiver Neural Network implementation in Fixed point C.
gcc command to run the NN.
Header file for the neural network
This file contains all the activation functions like relu, sigmoid, etc.
File to load all the data required for NN implementation. l1_result contains the python output for layer 1 of the NN. Weights and RxData have the weights of layer 1 and input data of 1 subcarrier respectively.
This file contains deep learning functions used in this neural network including Batch Normalization, 1D Convolution, etc.
This file implements the neural network layer for User Activity Detection for Premable 0, Coverage Area 1.
Contains (fixed point) matrix operations like multiplication, addition, etc.
Ultility functions: transpose, multiplication, division and square root operations.